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Record W2981982862 · doi:10.4095/288754

The seismic shothole drillers' log database and GIS for Northwest Territories and northern Yukon: an archive of near-surface lithostratigraphic surficial and bedrock geology data

2011· report· en· W2981982862 on OpenAlexaffabout
I R Smith

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBedrockGeologySeismologyGeomorphologyDatabase

Abstract

fetched live from OpenAlex

The seismic shothole drillers' log database provides baseline, near-surface (3-90 m; average 18.6 m) lithostratigraphic geoscience information on surficial, bedrock, hydro-, and permafrost geology. The revised and updated version 3 database contains 343,989 individual augered, or air-rotary drilled seismic shothole drillers' log records collected from 1952 to present. Originally published in 2007 as Open File 5465 (75,783 records) then updated in 2010 as Open File 6049 (275,871 records), the present database represents the sum total of all available archival holdings from Industry. Compiled in a Microsoft Access database, and graphically rendered in a GIS, the shothole data span the length and breadth of the Mackenzie corridor, Mackenzie Delta, and adjoining petroleum exploration regions of continental Northwest Territories and northern Yukon. The data, and numerous derivative thematic GIS and models stemming from this publication, provide an unparalleled and unique source of information that will benefit a wide variety of users (e.g., aboriginal organizations, communities, government, industry, land and water boards, regulators, and scientists), and applications (e.g., environmental assessments, infrastructure development, land use planning, resource management, and seismic exploration).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.603
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.012
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.261
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2011
Admission routes2
Has abstractyes

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